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            <h1>info.debatty.jinu.Case</h1>
            <p>2017-07-21 07:53:19</p>
            <p>spark.kmedoids.eval.fish.TestCase : -d fish-timeseries-0 -r Dropbox/eurecom-cluster/results/ -s 6621000 -s 13242000 -s 19863000</p>
            <p>Iterations: 20</p>
            <p>Tests:</p>
            <ul>
                                    <li>spark.kmedoids.eval.fish.ClaransTest</li>
                                    <li>spark.kmedoids.eval.fish.HeuristicTest</li>
                                    <li>spark.kmedoids.eval.fish.SimulatedAnnealingTest</li>
                            </ul>

            <h2>System</h2>
            <p>Hostname: spark-submit0-100499-prod</p>
            <p>Processors (cores): 32</p>
            <p>Memory (MB): 10923</p>

            <h2>Results</h2>
                            <canvas id="chart_0" width="640" height="480"></canvas>
            
            <canvas id="chart_time" width="640" height="480"></canvas>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#results-table">
                    Show/hide results table
                </a>
            </p>

            <table class="table table-condensed collapse in" id="results-table">
                <tr>
                    <th>Test</th>
                    <th>Parameter value</th>
                                            <td>r0</td>
                                        <th>time (ms)</th>
                    <th></th>
                </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.9863E7</td>
                                                    <td>4106.8591088165995</td>
                                                <td>1331439</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.9863E7</td>
                                                    <td>4106.128097596513</td>
                                                <td>1345181</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.9863E7</td>
                                                    <td>4070.5494252950525</td>
                                                <td>1565780</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.9863E7</td>
                                                    <td>4105.290794330018</td>
                                                <td>1239128</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.9863E7</td>
                                                    <td>4074.668407179465</td>
                                                <td>1213727</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.9863E7</td>
                                                    <td>4070.429293537418</td>
                                                <td>1244586</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.9863E7</td>
                                                    <td>4117.801914571089</td>
                                                <td>1205729</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.9863E7</td>
                                                    <td>4118.8094529086975</td>
                                                <td>1234059</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.9863E7</td>
                                                    <td>4087.321601608834</td>
                                                <td>1179252</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.9863E7</td>
                                                    <td>4052.878085865872</td>
                                                <td>1299164</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.9863E7</td>
                                                    <td>4045.675768505546</td>
                                                <td>1323159</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.9863E7</td>
                                                    <td>4079.2487141403567</td>
                                                <td>1153328</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.9863E7</td>
                                                    <td>4065.5620957289357</td>
                                                <td>1081920</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.9863E7</td>
                                                    <td>4037.3144044560077</td>
                                                <td>1060638</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.9863E7</td>
                                                    <td>4088.281846251428</td>
                                                <td>1279798</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.9863E7</td>
                                                    <td>4062.7441058151126</td>
                                                <td>1195035</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.9863E7</td>
                                                    <td>4097.615356890385</td>
                                                <td>1089344</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.9863E7</td>
                                                    <td>4097.461966568215</td>
                                                <td>1100368</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.9863E7</td>
                                                    <td>4053.646911269854</td>
                                                <td>1073324</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.9863E7</td>
                                                    <td>4070.315375359981</td>
                                                <td>1280502</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>4054.924958997443</td>
                                                <td>399256</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>4033.379981309021</td>
                                                <td>445651</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>3978.8038358419176</td>
                                                <td>452542</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>4077.512277225242</td>
                                                <td>523058</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>4019.857523145003</td>
                                                <td>412990</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>4017.421766860275</td>
                                                <td>413349</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>4000.648058939831</td>
                                                <td>417889</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>4018.074475121649</td>
                                                <td>430012</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>3950.388348827073</td>
                                                <td>538631</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>3992.064748368503</td>
                                                <td>538379</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>4005.362979745407</td>
                                                <td>388949</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>3997.3366537876686</td>
                                                <td>391379</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>3978.933736272021</td>
                                                <td>392630</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>3996.6014985189117</td>
                                                <td>434619</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>4040.35707980885</td>
                                                <td>436649</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>3991.8922453184714</td>
                                                <td>425561</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>4047.2283114383854</td>
                                                <td>374731</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>4044.524148182465</td>
                                                <td>438673</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>3945.1918534509487</td>
                                                <td>438956</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>3987.2026813013035</td>
                                                <td>368507</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4042.0996061043015</td>
                                                <td>998847</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4014.7412782071233</td>
                                                <td>891124</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4080.73857343675</td>
                                                <td>880373</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4068.787600213148</td>
                                                <td>908346</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4064.8036986635825</td>
                                                <td>871829</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4056.597455713125</td>
                                                <td>820061</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4007.5697278280963</td>
                                                <td>805985</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4050.1395812240494</td>
                                                <td>1079797</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4083.7082578469417</td>
                                                <td>825500</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4129.120889543353</td>
                                                <td>843502</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4054.5780443442713</td>
                                                <td>855383</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4041.685193943719</td>
                                                <td>815275</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4028.0045197775835</td>
                                                <td>781711</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4024.956055413578</td>
                                                <td>854613</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4088.6829464737925</td>
                                                <td>858112</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4003.878340833977</td>
                                                <td>856074</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4075.207436545685</td>
                                                <td>725359</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4054.164831584187</td>
                                                <td>713562</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4020.8222395234397</td>
                                                <td>865805</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>3988.8329603210595</td>
                                                <td>738445</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.9863E7</td>
                                                    <td>4101.005493266424</td>
                                                <td>1312367</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.9863E7</td>
                                                    <td>4064.7001034489504</td>
                                                <td>1380491</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.9863E7</td>
                                                    <td>4125.301790283591</td>
                                                <td>1353416</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.9863E7</td>
                                                    <td>4066.498058936204</td>
                                                <td>1199640</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.9863E7</td>
                                                    <td>4059.991879054841</td>
                                                <td>1194769</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.9863E7</td>
                                                    <td>4074.389598509436</td>
                                                <td>1225236</td>
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                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.9863E7</td>
                                                    <td>4049.5226771378657</td>
                                                <td>1101356</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.9863E7</td>
                                                    <td>4110.537176153919</td>
                                                <td>1200220</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.9863E7</td>
                                                    <td>4087.024450840654</td>
                                                <td>1218213</td>
                        <td></td>
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                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.9863E7</td>
                                                    <td>4066.3668877833056</td>
                                                <td>1223370</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.9863E7</td>
                                                    <td>4079.4697551836557</td>
                                                <td>1244518</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.9863E7</td>
                                                    <td>4071.5889235218483</td>
                                                <td>1222890</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
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                                                <td>1072830</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.9863E7</td>
                                                    <td>4025.4074319295833</td>
                                                <td>1303970</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.9863E7</td>
                                                    <td>4090.6895098944124</td>
                                                <td>1275564</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.9863E7</td>
                                                    <td>4078.8432651219164</td>
                                                <td>1293402</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.9863E7</td>
                                                    <td>4021.4105015500313</td>
                                                <td>1054723</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.9863E7</td>
                                                    <td>4095.031548736969</td>
                                                <td>1080314</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.9863E7</td>
                                                    <td>4088.599922809878</td>
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                                                <td>838660</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>4088.6304955590085</td>
                                                <td>745119</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>4067.6806223408857</td>
                                                <td>813572</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>3988.2672942013537</td>
                                                <td>704115</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>4007.3918394468305</td>
                                                <td>718238</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>4069.530701808368</td>
                                                <td>852256</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>4054.921066716854</td>
                                                <td>719585</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>4041.0793090549214</td>
                                                <td>858971</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>4029.072450605522</td>
                                                <td>865198</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>4034.9890045197353</td>
                                                <td>805611</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>4055.9313257391873</td>
                                                <td>711098</td>
                        <td></td>
                    </tr>
                            </table>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#confidence">
                    Show/hide confidence intervals
                </a>
            </p>
            <div class="collapse in" id="confidence">
                <h2>Confidence intervals</h2>
                <table class='table table-condensed'>
                    <tr>
                        <th>Test</th>
                        <th>Parameter value</th>
                        <th></th>
                                                    <td>r0</td>
                                                <th>time (ms)</th>
                    </tr>

                                            <tr>
                            <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                            <td>1.9863E7</td>
                            <td>mean</td>
                                                            <td>4080.4301363347695</td>
                                                        <td>1224773.0499999998</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                            <td>1.9863E7</td>
                            <td>std dev</td>
                                                            <td>24.009643772140734</td>
                                                        <td>120708.6371271858</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                            <td>1.9863E7</td>
                            <td>low</td>
                                                            <td>4069.1932771563975</td>
                                                        <td>1168279.6688451623</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                            <td>1.9863E7</td>
                            <td>high</td>
                                                            <td>4091.6669955131415</td>
                                                        <td>1281266.4311548374</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.fish.ClaransTest</td>
                            <td>6621000.0</td>
                            <td>mean</td>
                                                            <td>4008.88535812302</td>
                                                        <td>433120.55</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.ClaransTest</td>
                            <td>6621000.0</td>
                            <td>std dev</td>
                                                            <td>34.124294667900145</td>
                                                        <td>49243.38720603696</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.ClaransTest</td>
                            <td>6621000.0</td>
                            <td>low</td>
                                                            <td>3992.9146966095245</td>
                                                        <td>410073.93536666024</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.ClaransTest</td>
                            <td>6621000.0</td>
                            <td>high</td>
                                                            <td>4024.8560196365156</td>
                                                        <td>456167.16463333974</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.fish.ClaransTest</td>
                            <td>1.3242E7</td>
                            <td>mean</td>
                                                            <td>4048.955961877088</td>
                                                        <td>849485.1499999999</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.ClaransTest</td>
                            <td>1.3242E7</td>
                            <td>std dev</td>
                                                            <td>34.11373709946871</td>
                                                        <td>85160.70907054126</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.ClaransTest</td>
                            <td>1.3242E7</td>
                            <td>low</td>
                                                            <td>4032.990241457715</td>
                                                        <td>809628.711294051</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.ClaransTest</td>
                            <td>1.3242E7</td>
                            <td>high</td>
                                                            <td>4064.9216822964613</td>
                                                        <td>889341.5887059488</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                            <td>1.9863E7</td>
                            <td>mean</td>
                                                            <td>4075.3456875127904</td>
                                                        <td>1205353.6</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                            <td>1.9863E7</td>
                            <td>std dev</td>
                                                            <td>25.258522047812868</td>
                                                        <td>100025.24558351311</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                            <td>1.9863E7</td>
                            <td>low</td>
                                                            <td>4063.524335309539</td>
                                                        <td>1158540.3440612254</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                            <td>1.9863E7</td>
                            <td>high</td>
                                                            <td>4087.167039716042</td>
                                                        <td>1252166.8559387748</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                            <td>6621000.0</td>
                            <td>mean</td>
                                                            <td>4012.9579254439714</td>
                                                        <td>429876.1</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                            <td>6621000.0</td>
                            <td>std dev</td>
                                                            <td>40.74902285846072</td>
                                                        <td>34262.6841159822</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                            <td>6621000.0</td>
                            <td>low</td>
                                                            <td>3993.886795698677</td>
                                                        <td>413840.6702311053</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                            <td>6621000.0</td>
                            <td>high</td>
                                                            <td>4032.029055189266</td>
                                                        <td>445911.52976889466</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                            <td>1.3242E7</td>
                            <td>mean</td>
                                                            <td>4055.9739083578756</td>
                                                        <td>851750.95</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                            <td>1.3242E7</td>
                            <td>std dev</td>
                                                            <td>35.81236209054031</td>
                                                        <td>77583.32054363433</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                            <td>1.3242E7</td>
                            <td>low</td>
                                                            <td>4039.2132069715763</td>
                                                        <td>815440.8382876845</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                            <td>1.3242E7</td>
                            <td>high</td>
                                                            <td>4072.734609744175</td>
                                                        <td>888061.0617123154</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.fish.ClaransTest</td>
                            <td>1.9863E7</td>
                            <td>mean</td>
                                                            <td>4064.3800538686396</td>
                                                        <td>1243386.35</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.ClaransTest</td>
                            <td>1.9863E7</td>
                            <td>std dev</td>
                                                            <td>20.873402879963223</td>
                                                        <td>113962.68198857446</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.ClaransTest</td>
                            <td>1.9863E7</td>
                            <td>low</td>
                                                            <td>4054.6110006098097</td>
                                                        <td>1190050.1730350952</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.ClaransTest</td>
                            <td>1.9863E7</td>
                            <td>high</td>
                                                            <td>4074.1491071274695</td>
                                                        <td>1296722.526964905</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                            <td>6621000.0</td>
                            <td>mean</td>
                                                            <td>4007.9500331195422</td>
                                                        <td>422349.8</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                            <td>6621000.0</td>
                            <td>std dev</td>
                                                            <td>43.6189316175367</td>
                                                        <td>47496.10161465333</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                            <td>6621000.0</td>
                            <td>low</td>
                                                            <td>3987.5357447298898</td>
                                                        <td>400120.9401955578</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                            <td>6621000.0</td>
                            <td>high</td>
                                                            <td>4028.3643215091947</td>
                                                        <td>444578.6598044422</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                            <td>1.3242E7</td>
                            <td>mean</td>
                                                            <td>4052.4496070978753</td>
                                                        <td>824418.65</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                            <td>1.3242E7</td>
                            <td>std dev</td>
                                                            <td>28.340944229685757</td>
                                                        <td>73121.96016337507</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                            <td>1.3242E7</td>
                            <td>low</td>
                                                            <td>4039.1856369068387</td>
                                                        <td>790196.519217877</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                            <td>1.3242E7</td>
                            <td>high</td>
                                                            <td>4065.713577288912</td>
                                                        <td>858640.7807821231</td>
                        </tr>
                                    </table>
            </div>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#similarity">
                    Show/hide similarity
                </a>
            </p>

            <div class="collapse in" id="similarity">
                <h2>Test similarity</h2>
                <p><a href=\"https://en.wikipedia.org/wiki/Student's_t-test\">Student's
                        t-test</a>: values above 0.95 indicate both tests produce the
                    same average value.</p>

                <!-- For each parameter value -->
                                    <h3>Parameter value = 6621000.0</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.fish.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.fish.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.fish.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.fish.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.9402127446097731</td>
                                                                            <td>0.7337920105991833</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.fish.HeuristicTest</th>
                                                                            <td>0.9402127446097731</td>
                                                                            <td>1.0</td>
                                                                            <td>0.7096116111100692</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.fish.SimulatedAnnealingTest</th>
                                                                            <td>0.7337920105991833</td>
                                                                            <td>0.7096116111100692</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 1.3242E7</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.fish.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.fish.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.fish.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.fish.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.7266346545067328</td>
                                                                            <td>0.5295265221411487</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.fish.HeuristicTest</th>
                                                                            <td>0.7266346545067328</td>
                                                                            <td>1.0</td>
                                                                            <td>0.732014222225738</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.fish.SimulatedAnnealingTest</th>
                                                                            <td>0.5295265221411487</td>
                                                                            <td>0.732014222225738</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 1.9863E7</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.fish.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.fish.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.fish.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.fish.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.030013592324067015</td>
                                                                            <td>0.14304651157044646</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.fish.HeuristicTest</th>
                                                                            <td>0.030013592324067015</td>
                                                                            <td>1.0</td>
                                                                            <td>0.5180287294241914</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.fish.SimulatedAnnealingTest</th>
                                                                            <td>0.14304651157044646</td>
                                                                            <td>0.5180287294241914</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                </div>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#sources">
                    Show/hide sources
                </a>
            </p>
            <div class="collapse in" id="sources">
                <h2>Sources</h2>
                                    <h3>spark.kmedoids.eval.fish.ClaransTest</h3>
                    <pre>
                    </pre>
                                    <h3>spark.kmedoids.eval.fish.HeuristicTest</h3>
                    <pre>
                    </pre>
                                    <h3>spark.kmedoids.eval.fish.SimulatedAnnealingTest</h3>
                    <pre>
                    </pre>
                            </div>

            <h2>Classpath</h2>
            <ul>
                                    <li>/opt/spark/conf/</li>
                                        <li>/opt/spark/jars/spark-repl_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/eigenbase-properties-1.1.5.jar</li>
                                        <li>/opt/spark/jars/jtransforms-2.4.0.jar</li>
                                        <li>/opt/spark/jars/jta-1.1.jar</li>
                                        <li>/opt/spark/jars/parquet-encoding-1.8.1.jar</li>
                                        <li>/opt/spark/jars/joda-time-2.9.3.jar</li>
                                        <li>/opt/spark/jars/metrics-graphite-3.1.2.jar</li>
                                        <li>/opt/spark/jars/jaxb-api-2.2.2.jar</li>
                                        <li>/opt/spark/jars/commons-httpclient-3.1.jar</li>
                                        <li>/opt/spark/jars/commons-math3-3.4.1.jar</li>
                                        <li>/opt/spark/jars/kryo-shaded-3.0.3.jar</li>
                                        <li>/opt/spark/jars/jersey-server-2.22.2.jar</li>
                                        <li>/opt/spark/jars/commons-io-2.4.jar</li>
                                        <li>/opt/spark/jars/json4s-core_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/metrics-core-3.1.2.jar</li>
                                        <li>/opt/spark/jars/hk2-utils-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/jul-to-slf4j-1.7.16.jar</li>
                                        <li>/opt/spark/jars/pmml-schema-1.2.15.jar</li>
                                        <li>/opt/spark/jars/gson-2.2.4.jar</li>
                                        <li>/opt/spark/jars/scala-compiler-2.11.8.jar</li>
                                        <li>/opt/spark/jars/protobuf-java-2.5.0.jar</li>
                                        <li>/opt/spark/jars/javax.annotation-api-1.2.jar</li>
                                        <li>/opt/spark/jars/jackson-jaxrs-1.9.13.jar</li>
                                        <li>/opt/spark/jars/jackson-core-2.6.5.jar</li>
                                        <li>/opt/spark/jars/scala-parser-combinators_2.11-1.0.4.jar</li>
                                        <li>/opt/spark/jars/jersey-client-2.22.2.jar</li>
                                        <li>/opt/spark/jars/httpcore-4.4.4.jar</li>
                                        <li>/opt/spark/jars/jackson-mapper-asl-1.9.13.jar</li>
                                        <li>/opt/spark/jars/shapeless_2.11-2.0.0.jar</li>
                                        <li>/opt/spark/jars/jsr305-1.3.9.jar</li>
                                        <li>/opt/spark/jars/jodd-core-3.5.2.jar</li>
                                        <li>/opt/spark/jars/metrics-jvm-3.1.2.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-server-web-proxy-2.6.4.jar</li>
                                        <li>/opt/spark/jars/commons-crypto-1.0.0.jar</li>
                                        <li>/opt/spark/jars/apacheds-kerberos-codec-2.0.0-M15.jar</li>
                                        <li>/opt/spark/jars/snappy-0.2.jar</li>
                                        <li>/opt/spark/jars/jackson-module-scala_2.11-2.6.5.jar</li>
                                        <li>/opt/spark/jars/jetty-6.1.26.jar</li>
                                        <li>/opt/spark/jars/commons-lang3-3.5.jar</li>
                                        <li>/opt/spark/jars/commons-codec-1.10.jar</li>
                                        <li>/opt/spark/jars/spark-sketch_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/antlr4-runtime-4.5.3.jar</li>
                                        <li>/opt/spark/jars/ST4-4.0.4.jar</li>
                                        <li>/opt/spark/jars/osgi-resource-locator-1.0.1.jar</li>
                                        <li>/opt/spark/jars/avro-1.7.7.jar</li>
                                        <li>/opt/spark/jars/pmml-model-1.2.15.jar</li>
                                        <li>/opt/spark/jars/stream-2.7.0.jar</li>
                                        <li>/opt/spark/jars/javax.inject-1.jar</li>
                                        <li>/opt/spark/jars/parquet-column-1.8.1.jar</li>
                                        <li>/opt/spark/jars/hadoop-annotations-2.6.4.jar</li>
                                        <li>/opt/spark/jars/chill_2.11-0.8.0.jar</li>
                                        <li>/opt/spark/jars/hive-jdbc-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/objenesis-2.1.jar</li>
                                        <li>/opt/spark/jars/scala-xml_2.11-1.0.2.jar</li>
                                        <li>/opt/spark/jars/hadoop-client-2.6.4.jar</li>
                                        <li>/opt/spark/jars/hive-metastore-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/datanucleus-rdbms-3.2.9.jar</li>
                                        <li>/opt/spark/jars/calcite-core-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/scala-library-2.11.8.jar</li>
                                        <li>/opt/spark/jars/oro-2.0.8.jar</li>
                                        <li>/opt/spark/jars/libthrift-0.9.2.jar</li>
                                        <li>/opt/spark/jars/api-asn1-api-1.0.0-M20.jar</li>
                                        <li>/opt/spark/jars/opencsv-2.3.jar</li>
                                        <li>/opt/spark/jars/spark-mllib_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/pyrolite-4.13.jar</li>
                                        <li>/opt/spark/jars/javax.servlet-api-3.1.0.jar</li>
                                        <li>/opt/spark/jars/parquet-format-2.3.0-incubating.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-core-2.6.4.jar</li>
                                        <li>/opt/spark/jars/httpclient-4.5.2.jar</li>
                                        <li>/opt/spark/jars/guava-14.0.1.jar</li>
                                        <li>/opt/spark/jars/xercesImpl-2.9.1.jar</li>
                                        <li>/opt/spark/jars/spark-core_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/mail-1.4.7.jar</li>
                                        <li>/opt/spark/jars/hive-exec-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/hive-beeline-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/spark-network-shuffle_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/aopalliance-1.0.jar</li>
                                        <li>/opt/spark/jars/base64-2.3.8.jar</li>
                                        <li>/opt/spark/jars/stax-api-1.0-2.jar</li>
                                        <li>/opt/spark/jars/commons-collections-3.2.2.jar</li>
                                        <li>/opt/spark/jars/parquet-hadoop-bundle-1.6.0.jar</li>
                                        <li>/opt/spark/jars/leveldbjni-all-1.8.jar</li>
                                        <li>/opt/spark/jars/xbean-asm5-shaded-4.4.jar</li>
                                        <li>/opt/spark/jars/javolution-5.5.1.jar</li>
                                        <li>/opt/spark/jars/slf4j-api-1.7.16.jar</li>
                                        <li>/opt/spark/jars/netty-all-4.0.42.Final.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-server-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/xz-1.0.jar</li>
                                        <li>/opt/spark/jars/stringtemplate-3.2.1.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-api-2.6.4.jar</li>
                                        <li>/opt/spark/jars/json4s-jackson_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/htrace-core-3.0.4.jar</li>
                                        <li>/opt/spark/jars/parquet-hadoop-1.8.1.jar</li>
                                        <li>/opt/spark/jars/breeze-macros_2.11-0.12.jar</li>
                                        <li>/opt/spark/jars/spark-sql_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/api-util-1.0.0-M20.jar</li>
                                        <li>/opt/spark/jars/univocity-parsers-2.2.1.jar</li>
                                        <li>/opt/spark/jars/hadoop-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/apache-log4j-extras-1.2.17.jar</li>
                                        <li>/opt/spark/jars/mx4j-3.0.2.jar</li>
                                        <li>/opt/spark/jars/datanucleus-core-3.2.10.jar</li>
                                        <li>/opt/spark/jars/commons-dbcp-1.4.jar</li>
                                        <li>/opt/spark/jars/xmlenc-0.52.jar</li>
                                        <li>/opt/spark/jars/spark-catalyst_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/scalap-2.11.8.jar</li>
                                        <li>/opt/spark/jars/spark-yarn_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/antlr-2.7.7.jar</li>
                                        <li>/opt/spark/jars/parquet-jackson-1.8.1.jar</li>
                                        <li>/opt/spark/jars/guice-servlet-3.0.jar</li>
                                        <li>/opt/spark/jars/commons-cli-1.2.jar</li>
                                        <li>/opt/spark/jars/jersey-container-servlet-2.22.2.jar</li>
                                        <li>/opt/spark/jars/commons-compiler-3.0.0.jar</li>
                                        <li>/opt/spark/jars/javax.inject-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/json4s-ast_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/compress-lzf-1.0.3.jar</li>
                                        <li>/opt/spark/jars/commons-lang-2.6.jar</li>
                                        <li>/opt/spark/jars/hive-cli-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/commons-digester-1.8.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-app-2.6.4.jar</li>
                                        <li>/opt/spark/jars/jpam-1.1.jar</li>
                                        <li>/opt/spark/jars/jackson-core-asl-1.9.13.jar</li>
                                        <li>/opt/spark/jars/spark-hive_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/RoaringBitmap-0.5.11.jar</li>
                                        <li>/opt/spark/jars/hk2-api-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/avro-ipc-1.7.7.jar</li>
                                        <li>/opt/spark/jars/commons-pool-1.5.4.jar</li>
                                        <li>/opt/spark/jars/jetty-util-6.1.26.jar</li>
                                        <li>/opt/spark/jars/spire-macros_2.11-0.7.4.jar</li>
                                        <li>/opt/spark/jars/spark-tags_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/arpack_combined_all-0.1.jar</li>
                                        <li>/opt/spark/jars/stax-api-1.0.1.jar</li>
                                        <li>/opt/spark/jars/antlr-runtime-3.4.jar</li>
                                        <li>/opt/spark/jars/javassist-3.18.1-GA.jar</li>
                                        <li>/opt/spark/jars/spark-unsafe_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/chill-java-0.8.0.jar</li>
                                        <li>/opt/spark/jars/bonecp-0.8.0.RELEASE.jar</li>
                                        <li>/opt/spark/jars/py4j-0.10.4.jar</li>
                                        <li>/opt/spark/jars/aopalliance-repackaged-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/janino-3.0.0.jar</li>
                                        <li>/opt/spark/jars/commons-net-2.2.jar</li>
                                        <li>/opt/spark/jars/avro-mapred-1.7.7-hadoop2.jar</li>
                                        <li>/opt/spark/jars/calcite-avatica-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/super-csv-2.2.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/jackson-annotations-2.6.5.jar</li>
                                        <li>/opt/spark/jars/jets3t-0.9.3.jar</li>
                                        <li>/opt/spark/jars/scala-reflect-2.11.8.jar</li>
                                        <li>/opt/spark/jars/javax.ws.rs-api-2.0.1.jar</li>
                                        <li>/opt/spark/jars/derby-10.12.1.1.jar</li>
                                        <li>/opt/spark/jars/curator-client-2.6.0.jar</li>
                                        <li>/opt/spark/jars/zookeeper-3.4.6.jar</li>
                                        <li>/opt/spark/jars/calcite-linq4j-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/slf4j-log4j12-1.7.16.jar</li>
                                        <li>/opt/spark/jars/spark-hive-thriftserver_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/libfb303-0.9.2.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-shuffle-2.6.4.jar</li>
                                        <li>/opt/spark/jars/commons-compress-1.4.1.jar</li>
                                        <li>/opt/spark/jars/jersey-media-jaxb-2.22.2.jar</li>
                                        <li>/opt/spark/jars/jdo-api-3.0.1.jar</li>
                                        <li>/opt/spark/jars/spark-streaming_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/java-xmlbuilder-1.0.jar</li>
                                        <li>/opt/spark/jars/commons-logging-1.1.3.jar</li>
                                        <li>/opt/spark/jars/jersey-container-servlet-core-2.22.2.jar</li>
                                        <li>/opt/spark/jars/hadoop-hdfs-2.6.4.jar</li>
                                        <li>/opt/spark/jars/jersey-common-2.22.2.jar</li>
                                        <li>/opt/spark/jars/paranamer-2.3.jar</li>
                                        <li>/opt/spark/jars/commons-beanutils-core-1.8.0.jar</li>
                                        <li>/opt/spark/jars/commons-beanutils-1.7.0.jar</li>
                                        <li>/opt/spark/jars/minlog-1.3.0.jar</li>
                                        <li>/opt/spark/jars/jcl-over-slf4j-1.7.16.jar</li>
                                        <li>/opt/spark/jars/curator-recipes-2.6.0.jar</li>
                                        <li>/opt/spark/jars/curator-framework-2.6.0.jar</li>
                                        <li>/opt/spark/jars/bcprov-jdk15on-1.51.jar</li>
                                        <li>/opt/spark/jars/netty-3.8.0.Final.jar</li>
                                        <li>/opt/spark/jars/jackson-databind-2.6.5.jar</li>
                                        <li>/opt/spark/jars/spark-mllib-local_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/ivy-2.4.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-client-2.6.4.jar</li>
                                        <li>/opt/spark/jars/breeze_2.11-0.12.jar</li>
                                        <li>/opt/spark/jars/lz4-1.3.0.jar</li>
                                        <li>/opt/spark/jars/log4j-1.2.17.jar</li>
                                        <li>/opt/spark/jars/validation-api-1.1.0.Final.jar</li>
                                        <li>/opt/spark/jars/parquet-common-1.8.1.jar</li>
                                        <li>/opt/spark/jars/snappy-java-1.1.2.6.jar</li>
                                        <li>/opt/spark/jars/metrics-json-3.1.2.jar</li>
                                        <li>/opt/spark/jars/guice-3.0.jar</li>
                                        <li>/opt/spark/jars/jackson-module-paranamer-2.6.5.jar</li>
                                        <li>/opt/spark/jars/spark-mesos_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/activation-1.1.1.jar</li>
                                        <li>/opt/spark/jars/jline-2.12.1.jar</li>
                                        <li>/opt/spark/jars/jersey-guava-2.22.2.jar</li>
                                        <li>/opt/spark/jars/jackson-xc-1.9.13.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-jobclient-2.6.4.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/apacheds-i18n-2.0.0-M15.jar</li>
                                        <li>/opt/spark/jars/spire_2.11-0.7.4.jar</li>
                                        <li>/opt/spark/jars/spark-launcher_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/commons-configuration-1.6.jar</li>
                                        <li>/opt/spark/jars/spark-network-common_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-auth-2.6.4.jar</li>
                                        <li>/opt/spark/jars/datanucleus-api-jdo-3.2.6.jar</li>
                                        <li>/opt/spark/jars/spark-graphx_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/hk2-locator-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/mesos-1.0.0-shaded-protobuf.jar</li>
                                        <li>/opt/spark/jars/core-1.1.2.jar</li>
                                        <li>/opt/spark/jars/JavaEWAH-0.3.2.jar</li>
                                        <li>/opt/hadoop/etc/hadoop/</li>
                                </ul>
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